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ORCIDComputational Optimization and Applications, Volume 86
Volume 86, Number 1, September 2023
- David Ek
, Anders Forsgren:
A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming. 1-48 - Cecilia Orellana Castro, Manolo Rodriguez Heredia, Aurelio R. L. Oliveira:
Recycling basic columns of the splitting preconditioner in interior point methods. 49-78 - Albert S. Berahas, Jiahao Shi, Zihong Yi, Baoyu Zhou:
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction. 79-116 - Kuangyu Ding, Xin Yee Lam, Kim-Chuan Toh:
On proximal augmented Lagrangian based decomposition methods for dual block-angular convex composite programming problems. 117-161 - Hoai An Le Thi, Thi-Minh-Tam Nguyen, Tao Pham Dinh:
On solving difference of convex functions programs with linear complementarity constraints. 163-197 - Hezhi Luo, Xianye Zhang, Huixian Wu, Weiqiang Xu:
Effective algorithms for separable nonconvex quadratic programming with one quadratic and box constraints. 199-240 - Shaoze Li, Zhibin Deng, Cheng Lu, Junhao Wu, Jinyu Dai, Qiao Wang:
An efficient global algorithm for indefinite separable quadratic knapsack problems with box constraints. 241-273 - Jiaming Liang, Renato D. C. Monteiro:
Average curvature FISTA for nonconvex smooth composite optimization problems. 275-302 - Cheik Traoré, Saverio Salzo, Silvia Villa:
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. 303-344 - Baohua Huang, Wen Li:
A smoothing Newton method based on the modulus equation for a class of weakly nonlinear complementarity problems. 345-381 - Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
GLISp-r: a preference-based optimization algorithm with convergence guarantees. 383-420
Volume 86, Number 2, November 2023
- Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
An accelerated proximal gradient method for multiobjective optimization. 421-455 - Qing-Rui He, Chun-Rong Chen, Sheng-Jie Li:
Spectral conjugate gradient methods for vector optimization problems. 457-489 - Stefan Schwarze, Oliver Stein:
A branch-and-prune algorithm for discrete Nash equilibrium problems. 491-519 - Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. 521-553 - Shun Arahata, Takayuki Okuno, Akiko Takeda:
Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems. 555-598 - Adeyemi D. Adeoye, Alberto Bemporad:
SCORE: approximating curvature information under self-concordant regularization. 599-626 - Dongdong Zhang, Shaohua Pan, Shujun Bi, Defeng Sun:
Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound. 627-667 - Gui-Hua Lin, Zhen-Ping Yang, Haian Yin, Jin Zhang:
A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems. 669-710 - Letícia Becher, Damián R. Fernández, Alberto Ramos:
A trust-region LP-Newton method for constrained nonsmooth equations under Hölder metric subregularity. 711-743 - Manlio Gaudioso, Giovanni Giallombardo, Giovanna Miglionico:
Sparse optimization via vector k-norm and DC programming with an application to feature selection for support vector machines. 745-766 - Nina Beranek, Martin Alexander Reinhold, Karsten Urban:
A space-time variational method for optimal control problems: well-posedness, stability and numerical solution. 767-794
Volume 86, Number 3, December 2023
- William W. Hager, R. Tyrrell Rockafellar, Vladimir M. Veliov:
Preface to Asen L. Dontchev Memorial Special Issue. 795-800 - Samir Adly, Hédy Attouch, Manh Hung Le:
First order inertial optimization algorithms with threshold effects associated with dry friction. 801-843 - Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén:
Distributed forward-backward methods for ring networks. 845-870 - Zvi Artstein:
Linear singularly perturbed systems without slow-fast split. 871-884 - Robert Baier, Elza M. Farkhi:
A Filippov approximation theorem for strengthened one-sided Lipschitz differential inclusions. 885-923 - Radu Ioan Bot, Ernö Robert Csetnek, Michael Sedlmayer:
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. 925-966 - Jesús Camacho Moro, María Josefa Cánovas, Marco A. López, Juan Parra:
Robust and continuous metric subregularity for linear inequality systems. 967-988 - Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira:
A study of progressive hedging for stochastic integer programming. 989-1034 - Alberto Domínguez Corella, Nicolai Jork, Vladimir M. Veliov:
On the solution stability of parabolic optimal control problems. 1035-1079 - Gabriele Eichfelder, Lars Grüne, Lisa Krügel, Jonas Schießl:
Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC. 1081-1116 - Helmut Gfrerer, Alexander Y. Kruger:
Radius theorems for subregularity in infinite dimensions. 1117-1158 - Helmut Gfrerer, Michael Mandlmayr, Jirí V. Outrata, Jan Valdman:
On the SCD semismooth* Newton method for generalized equations with application to a class of static contact problems with Coulomb friction. 1159-1191 - Shaoyan Guo, Hou-Duo Qi, Liwei Zhang:
Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications. 1193-1227 - William W. Hager:
Extension of switch point algorithm to boundary-value problems. 1229-1246 - C. Yalçin Kaya, Helmut Maurer:
Optimization over the Pareto front of nonconvex multi-objective optimal control problems. 1247-1274 - Ziyan Luo, Liqun Qi:
Optimality conditions for Tucker low-rank tensor optimization. 1275-1298 - Björn Martens:
Error estimates for Runge-Kutta schemes of optimal control problems with index 1 DAEs. 1299-1325 - R. Tyrrell Rockafellar:
Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm. 1327-1346 - Constantine Alexander Vitt, Darinka Dentcheva, Andrzej Ruszczynski, Nolan Sandberg:
The deepest event cuts in risk-averse optimization with application to radiation therapy design. 1347-1372 - COAP 2022 Best Paper Prize. 1373-1375
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